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07/29/2021
Spatio-temporal estimation of wind speed and wind power using machine learning: predictions, uncertainty and technical potential
The growth of wind generation capacities in the past decades has shown t...
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11/03/2020
Uncertainty Quantification in Extreme Learning Machine: Analytical Developments, Variance Estimates and Confidence Intervals
Uncertainty quantification is crucial to assess prediction quality of a ...
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10/12/2020
On Feature Selection Using Anisotropic General Regression Neural Network
The presence of irrelevant features in the input dataset tends to reduce...
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07/23/2020
A Novel Framework for Spatio-Temporal Prediction of Climate Data Using Deep Learning
As the role played by statistical and computational sciences in climate ...
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06/22/2020
Spatio-temporal evolution of global surface temperature distributions
Climate is known for being characterised by strong non-linearity and cha...
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06/22/2020
Spatio-temporal evolution of global surfacetemperature distributions
Climate is known for being characterised by strong non-linearity and cha...
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12/05/2019
Advanced analysis of temporal data using Fisher-Shannon information: theoretical development and application in geosciences
Complex non-linear time series are ubiquitous in geosciences. Quantifyin...
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09/21/2019
